Applied Precognition Project
What is APP?
The Applied Precognition Project (APP) is a pioneering initiative dedicated to exploring human consciousness and its extraordinary capabilities. Founded in November 2012 by Marty Rosenblatt, Chris Georges, and Tom Atwater, APP quickly became one of the largest and most active organizations focused on the practical application of precognition through Associative Remote Viewing (ARV).
ARV is a structured method of remote viewing that enables participants to make predictions by selecting from potential targets – such as colors, images, tastes, or sensory impressions – that are linked to possible future outcomes.
In 2025, APP became a major program within the International Remote Viewing Association (IRVA).
Member-Only Videos
As an IRVA member, you can access an extensive archive of APP conference recordings and “Talk With” webinar sessions spanning more than a decade. The “Talk With” series provides opportunities to engage with leading experts in fields such as psi research, physics, psychology, and related disciplines.
APP conferences have featured presentations from renowned Stargate program viewers and researchers, including Joe McMoneagle, Lyn Buchanan, Tom McNear, Paul Smith, Russell Targ, and Ed May.
Go to the Featured Video page to access the complete list of videos. You must be logged in to the website.
Free Training & Prediction Groups
Free Training & Workshops
Explore a wide range of free webinar content covering innovative research, practical techniques, and real-world applications of ARV.
Since 2012, APP has curated hundreds of sessions designed to support both new and experienced practitioners.
APP co-founder Marty Rosenblatt encouraged members to form prediction groups focused on outcomes ranging from sports and financial markets to business and personal decision-making.
These groups have used a variety of methods, including image-based targets, color systems, dream work, kinesthetic impressions, dowsing, and emotional cues.
Browse more than 400 recorded webinars to discover diverse approaches and insights. The current webinar series also highlights opportunities to practice ARV through IRVA-led groups and emerging platforms.
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Prediction Groups
Watch this demo of APP's Color ARV horse racing group and learn how you can join!
Research, Innovation & IRVA Integration
Research & Innovation
APP offers opportunities to participate in both informal and formal research initiatives that contribute to the scientific understanding of precognition and nonlocal awareness. Members can engage in individual practice, collaborative group projects, and structured research programs.
To support the development of new remote viewing groups and research efforts, APP collaborates with the IRVA Research Unit (IRU), which meets monthly. Participation helps advance both practical applications and scientific exploration within the field.
APP’s Integration with IRVA
In 2025, APP became a major program within the International Remote Viewing Association (IRVA), joining initiatives such as the IRVA Research Unit (IRU), IRVA International, and IRVA Education.
This integration strengthens APP’s long-term sustainability while preserving its unique identity, leadership, and mission. Operating under IRVA’s nonprofit 501(c)(3) structure, APP benefits from enhanced infrastructure, governance, and shared organizational resources.
APP continues to be guided by a dedicated volunteer leadership team, including Julie Beaman, T.W. (Teresa) Fendley, Crystal Hope, Patricia Haddadi, Kelly McKillip, and Shane Stone. Founder Marty Rosenblatt remains actively involved as a consultant, advisor, and project leader, ensuring continuity with APP’s original vision.
This partnership reflects a natural alignment between IRVA and APP, organizations that share a longstanding overlap in mission, membership, and community focus.
Join IRVA and Access APP
IRVA membership provides full access to the Applied Precognition Project, along with extensive resources including the CIA Star Gate Archives, conference videos, Aperture Magazine, and more.
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